/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * License); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

/*
 * Copyright (c) 2018, Open AI Lab
 * Author: chunyinglv@openailab.com
 */
#include "operator/reorg.hpp"

namespace TEngine {
bool Reorg::InferShape(const std::vector<TEngine::TShape>& ishape, std::vector<TEngine::TShape>& oshape)
{
  
     const TShape& input=ishape[0];
     int n=input.GetN();
     int c=input.GetC();
     int h=input.GetH();
     int w=input.GetW();

     TShape shape;
     int stride=param_.stride;
     std::vector<int> dim={n,c*(stride*stride),h/stride,w/stride};

     shape.SetDim(dim);
     shape.SetDataLayout("NCHW");

     oshape[0]=shape;
     return true;    

}

void Reorg::SetSchema(void)
{
  Input({"input:float32"})
  .Output({"output:float32"})
  .SetLayout("NCHW")
  .SetAttr("stride",1)
  .SetDoc(R"DOC(Reorg Operator)DOC");
}


} //namespace TEngine
